遗传算法解决随机期望值模型问题的例题

该算法采用另外一种策略，结合进化策略和遗传算法，达到优化的目地-The algorithm uses a different strategy, combining evolutionary strategy and genetic algorithm to optimize the purpose

基于matlab的改进模拟退火算法（经典）-Matlab-based improvements in simulated annealing algorithm (classical)

数据挖掘中很不错的源码,一个share算法的java源程序,有极好的可读性-data mining is a good source, a share algorithm java source files, has an excellent readability

图像检测模板匹配的Visual C++代码-Image Detection template matching Visual C code

遗传算法的VS2003工程，调试通过,An Introduction to Genetic Algorithms for Scientists and Engineers 书中的算法源程序-Genetic algorithm works VS2003, debugging through, An Introduction to Genetic Algorithms for Scientists and Engineers book algorithm source code

--- --- --- -人脸检测----------------------Face Detection

详细介绍了有关人工智能软件编写的理论和实务-details of the artificial intelligence software prepared by the theory and practice

微分进化算法DE是1995年由Rainer Storn和Kenneth Price首先提出。DE已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点[5,6] 。它在许多优化问题中都表现出优于自适应模拟退火算法、POS 算法、GA算法的性能。DE利用实数值参数向量作为每一代的种群，它的自参考种群繁殖方案与其他优化算法不同。-DE was first proposed in 1995 by Rainer Storn and Kenneth Price and had been proven that it is efficient, convergent, and robust in the solution process. [5,6] In many optimize questions, its performance surpasses the adaptive simulated annealing algorithm, the POS algorithm, and the GA algorithm. DE gets each generation of population using the real value parameter vector, and the crucial idea of DE is a scheme for generating trial parameter vectors.

遗传算法GA的源代码及例子-genetic algorithm source code and examples

matlab中运行-matlab run